Breast Cancer

This is one of three datasets provided by the Oncology Institute that has repeatedly appeared in the machine learning literature.

This data set includes 201 instances of one class and 85 instances of another class. The instances are described by 9 attributes. In this version of the dataset all the attributes are nominal.

• Source: UCI Machile Learning Repository
• Number of rows: 277
• Number of attributes: 9

Description of the attributes:

Cars

Car Evaluation Database was derived from a simple hierarchical decision mode. The attributes include: buying price, maint price of the maintenance, number of doors, persons capacity in terms of persons to carry, lug_boot the size of luggage boot, safety estimated safety of the car and class. The class is the car acceptability and its possible values are: unacc, acc, good, vgood.

• Source: UCI Machile Learning Repository
• Number of rows: 1728
• Number of attributes: 6

Description of the attributes:

Somerville

The skin dataset is collected by randomly sampling B,G,R values from face images of various age groups (young, middle, and old), race groups (white, black, and asian), and genders obtained from FERET database and PAL database. Total learning sample size is 245057; out of which 50859 is the skin samples and 194198 is non-skin samples. Color FERET Image Database: [Web Link], PAL Face Database from Productive Aging Laboratory, The University of Texas at Dallas: [Web Link]. This dataset is of the dimension 245057 * 4 where first three columns are B,G,R (x1,x2, and x3 features) values and fourth column is of the class labels (decision variable y).

• Source: UCI Machile Learning Repository
• Number of rows: 143
• Number of attributes: 6

Description of the attributes:

Tic-Tac-Toe

This database encodes the complete set of possible board configurations at the end of tic-tac-toe games, where “x” is assumed to have played first. The target concept is “win for x” (i.e., true when “x” has one of 8 possible ways to create a “three-in-a-row”).

• Source: UCI Machile Learning Repository
• Number of rows: 958
• Number of attributes: 9

Description of the attributes:

Cesarean

Mammographic masses

Travel insurance

• Source: Kaggle
• Number of rows: 18219
• Number of attributes: 10

Description of the attributes:

Banknote authentication

• Source: UCI Machile Learning Repository
• Number of rows: 1372
• Number of attributes: 4

Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. Wavelet Transform tool were used to extract features from images.

Description of the attributes:

• variance of Wavelet Transformed image (continuous)
• skewness of Wavelet Transformed image (continuous)
• curtosis of Wavelet Transformed image (continuous)
• entropy of image (continuous)
• class

Haberman

• Source: UCI Machile Learning Repository
• Number of rows: 306
• Number of attributes: 3

The dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago’s Billings Hospital on the survival of patients who had undergone surgery for breast cancer.

• Age of patient at time of operation (numerical)
• Patient’s year of operation (year - 1900, numerical)
• Number of positive axillary nodes detected (numerical)
• Survival status (class attribute)
  • 1 = the patient survived 5 years or longer
  • 2 = the patient died within 5 year

Description of the attributes:

Skin segmentation

Balance Scale

This data set was generated to model psychological experimental results. Each example is classified as having the balance scale tip to the right, tip to the left, or be balanced. The attributes are the left weight, the left distance, the right weight, and the right distance. The correct way to find the class is the greater of \((left\_distance * left\_weight)\) and \((right\_distance * right\_weight)\). If they are equal, it is balanced.

• Source: UCI Machile Learning Repository
• Number of rows: 625
• Number of attributes: 4

Description of the attributes:

Chess

Post operative data

Poker hand

Teaching-assistant

• Source: UCI Machile Learning Repository

Abalone

Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope – a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem.

From the original data examples with missing values were removed (the majority having the predicted value missing), and the ranges of the continuous values have been scaled for use with an ANN (by dividing by 200).

• Source: UCI Machile Learning Repository
• Number of rows: 4177
• Number of attributes: 8

Description of the attributes:

Life expectancy

Life expectancy

Seeds